Journalism

AIxMusic Panels

Renata Schmidtkunz (DE)

Renata Schmidtkunz hosts four panel discussions in the summer refectory, prominently featuring Josef Penninger, Sophie Wennerscheid, Amanda Cox, Markus Poschner, and others.

Panel III: Deep Journalism, Information and Misinformation in the age of Artificial Intelligence

Renata Schmidtkunz (DE), Walter Ötsch (AT), Marta Peirano (ES)

Which potentials and risks does the increasing automation and handling of information processes entail? Can we develop sensitive strategies for our data in digital space?

Panel II: AI, more than a technology

Renata Schmidtkunz (DE), Markus Poschner (DE), Douglas Eck (US), François Pachet (FR)

AI is expected to open many new possibilities for creators, not replacing them but assisting and supporting their work. Even more so we see big expectations for the businesses related to the distribution of music. What are the consequences and implications? What kind of new business models can we expect? How will this affect the artists?

We Revolutionize Music Education: The Neuromusic Education Simulator (NES)

Gerald Wirth (AT), Wiener Sängerknaben/VIve Kumar (IN), Athabasca University (US)

In cooperation with developmental psychologists and pedagogues, Professor Gerald Wirth developed his engagement-centric teaching methodology – the wirth method – aiming at constant high-level student attention. Through neuronal networks activated when using movement to support teaching and through repetitions with variations, contents are sustainably stored in the long-term memory. The use of NES based on the wirth method applying VR & AR allows teachers and students in addition to personal tuition, to practice, gain experience and receive feedback.

ACIDS: Artificial Creative Intelligence

Philippe Esling (FR)

The Artificial Creative Intelligence and Data Science (ACIDS) team at IRCAM seeks to model musical creativity by targeting the properties of audio mixtures. This studies the intersection between symbol (score) and signal (audio) representations to understand and control the manifolds of musical information.

Automatic Music Generation with Deep Learning – Fascination, challenges, constraints

Ali Nikrang (AT)

In recent years, there has been a great deal of academic interest on applying Deep Learning to creative tasks such as for generating texts, images or music with fascinating results. Technically speaking, Deep Learning models can only learn the statistics of the data. Thus, they often can learn relationships in the data that human observers have not been aware of, and can therefore serve as a new source of inspiration for human creativity. This workshop focuses on current technical approaches for automatic music generation.

Creating interactive audio systems with Bela

Andrew McPherson (UK)

The workshop will provide an introduction to Bela, an open-source embedded hardware platform for creating interactive audio systems. Participants will get a hands-on introduction to building circuits and programming using Bela, following a series example projects to introduce the basis of building real-time audio systems.

Recommenders and Intelligent Tools in Music Creation: Why, Why Not, and How?

Christine Bauer (AT), Peter Knees (AT), Richard Vogl (AT), Hansi Raber (AT)

This workshop will highlight the role of Artificial Intelligence, Machine Learning-supported composition, and Recommender Systems in the process of music creation. We discuss their reception and prevalent image among professional music producers and creators, including the potential threats these technologies pose to their artistic originality. We contrast this view by emphasizing the power of AI-technology for a democratization of music making, by lowering the entrance barrier of music creation.

Digital Musical Interactions

Koray Tahiroğlu (Fl/TR)

Today digital technologies and advanced computational features, such as machine learning and artificial intelligence (AI) tools, are shaping our relationship with music as well as enabling new possibilities of utilising new musical instruments and interfaces. In this workshop, we question, what does our relationship with music and musical instruments look like today?

Computer Music Design and Research – IRCAM Workshop

Jérôme Nika (FR), Daniele Ghisi (IT)

Computer music designer, musician, and researcher Jérôme Nika (FR) will present the generative agents / software instruments DYCI2 that he develops in collaboration with Ircam, and in interaction with expert improvisers. These agents offer a continuum of strategies going from pure autonomy to meta-composition thanks to an abstract “scenario” structure.